gnscor: To compute the correlation of normalized and standardized...

In NPhogat/GNSplex: An R package for analysis of the data of gold nanoparticles based singleplex bioassay

Description

Function gnscor works on the output of function CRepsd, which is an object of class gnsdt and computes the correlation between normalized intensity with predicted values of normalized intensities from lm model as well as correlation between standardized intensities with predicted values of standardized intensities from lm model. It saves the final results of correlation in a new slot corData of an object of class \Codegnsdt

Usage

## S4 method for signature 'gnsdt'
gnscor(gnsdt)

Arguments

gnsdt

an output of function CRepsd, which is an object of the class \Codegnsdt

Details

Allows the user to compute the correlation and saves the results in the new slot corData of an object of class gnsdt

Value

object of Class "gnsdt" and save the results of correlation in slot corData

Author(s)

Navneet Phogat, Matthias Kohl, [e-mail]

Examples

##To read the .csv file
file1 <- system.file("exData", "Imager.csv", package = "ReadqPCR")
data <- readGNS(file = file1)
## To combine the replicates
crep1 <- CRepsd(data)
## To compute the correlation
cor1 <- gnscor(crep1)
## to visualize all the results
cor1
## to visualize the results of correlation only
slot(cor1,"corData")

NPhogat/GNSplex documentation built on May 8, 2020, 9:28 p.m.